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通过多重填补和直接标准化法估算龋病患病情况

Estimation of caries experience by multiple imputation and direct standardization.

作者信息

Schuller A A, van Buuren S

机构信息

Netherlands Organization for Applied Scientific Research TNO, Leiden, The Netherlands.

出版信息

Caries Res. 2014;48(2):91-5. doi: 10.1159/000353140. Epub 2013 Nov 26.

Abstract

Valid estimates of caries experience are needed to monitor oral population health. Obtaining such estimates in practice is often complicated by nonresponse and missing data. The goal of this study was to estimate caries experiences in a population of children aged 5 and 11 years, in the presence of nonresponse and missing data. Four estimation methods are compared. Each method makes implicit assumptions about the processes that caused the nonresponse and the missing data. Three of the four methods are based on unrealistic assumptions about the missing data and underestimate caries experience. Under the missing at random assumption, multiple imputation in combination with direct standardization corrects for the deficiencies of current methodology. In the presence of missing data and nonresponse, we recommend a combination of multiple imputation and direct standardization to obtain correct estimates of caries experience.

摘要

为监测口腔人群健康状况,需要对龋齿患病情况进行有效的评估。在实际操作中,由于无应答和数据缺失的情况,获取此类评估往往变得复杂。本研究的目的是在存在无应答和数据缺失的情况下,估算5岁和11岁儿童群体的龋齿患病情况。比较了四种估算方法。每种方法都对导致无应答和数据缺失的过程做出了隐含假设。四种方法中的三种基于对缺失数据的不切实际假设,低估了龋齿患病情况。在随机缺失假设下,多重填补结合直接标准化可纠正当前方法的不足。在存在数据缺失和无应答的情况下,我们建议结合使用多重填补和直接标准化来获得龋齿患病情况的正确估计值。

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